In-memory computing is defined as the process of storing data in the random-access memory of the computer rather than storing it in slow disk drives. In-memory computing makes it easier for users to examine massive data volumes at a faster rate and overall decrease the latency of storage. In-memory computing affects multiple processes such as integration of data, allowing faster decision making, and cost reduction. This makes it possible for analysis of big data. In-memory computing basically refers to the relocating data, which have been traditionally stored on hard disks into main memory. In-memory computing makes it easier for business customers involving retailers, banks, and services to quickly discover patterns, evaluate massive data volumes in a go, and execute their business activities rapidly.
COVID-19 Scenario Analysis:
- The COVID-19 outbreak has adversely affected markets, customer behavior, and significantly impacted global economies. The offices, education institutions, and manufacturing industries were shut down for an unspecified period and work-from-home & social distancing policies were carried out. Companies are increasingly searching for technologies to help them in these tough times.
- Companies are choosing for in-memory computing solutions for administering large data and meeting customer expectations. Industry verticals, such as e-commerce, logistics, and online business collaborations, are observing a vast surge in their business. Companies are facing the urgent need to accelerate as well as to scale out their applications to implement in-memory data networks.
Top impacting factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis
The growing demand for faster processing and analytics of big data and rise in usage of internet services are the factors driving the growth of the in-memory computing market. In addition, the increased acceptance of in-memory computing to gain a competitive edge, improve performance, and improve presence in the marketplace is driving the growth of the market. However, the instability of data and concerns regarding the security of the data are the factors hampering the growth of the in-memory computing market. Furthermore, the capability of in-memory computing technology to deliver speed, scalability, flexibility, and accessibility at a competitive cost is offering lucrative opportunities to the growth of the market during the forecast period.
The market trends for in-memory computing market are as follows:
Adoption of technology for data management
In-memory processes works faster than disk-to-memory systems, which allows businesses to speed up the decision-making process using the data. In-memory technologies allow decision-makers to reach to the information they are looking for rapidly and easily. In-memory technology has been in the market for several years and the demand for smart, interactive experiences involves back-end systems and programs to operate at high performance and deliver the data faster.
Asia-Pacific to witness significant growth
Asia-Pacific is expected to observe significant growth during the forecast period, owing to the presence of some of developing countries such as India and China. These countries are known for providing services such as business process outsourcing (BPO) & knowledge process outsourcing (KPO). These countries also have manufacturing plants. All the business processes performed require a huge quantity of data that requires storage, processing, and analysis for the purpose of decision making. Additionally, increasing investment by several technology players is driving the growth of the in-memory computing market in the Asia-Pacific region.
Key benefits of the report:
- This study presents an analytical depiction of the in-memory computing market along with the current trends and future estimations to determine the imminent investment pockets.
- The report presents information related to key drivers, restraints, and opportunities along with a detailed analysis of the in-memory computing market share.
- The current market is quantitatively analyzed to highlight the in-memory computing market growth scenario.
- Porter’s five forces analysis illustrates the potency of buyers & suppliers in the market.
- The report provides a detailed market analysis based on the present and future competitive intensity of the market.
Questions answered in the in-memory computing market research report:
- Who are the leading market players active in the in-memory computing market?
- What would be the detailed impact of COVID-19 on the in-memory computing market?
- What current trends would influence the market in the next few years??
- What are the driving factors, restraints, and opportunities in the market?
- What are the projections for the future that would help in taking further strategic steps?
In-Memory Computing Market Report Highlights
| Aspects | Details |
 By Component |
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 By Deployment Model |
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 By Enterprise Size |
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 By Application |
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 By Industry Vertical |
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 By Region |
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 Key Market Players | Microsoft Corporation, SAS Institute Inc., Fujitsu Limited, TIBCO Software Inc, Software AG, Salesforce.com Inc., International Business Machines Corporation, Oracle Corporation, SAP SE, Intel Corporation |
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